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Conversational Agents for Health and Well-being Across the Life Course:

2021Journal article Open access
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dc.contributor.authorPereira Guerreiro, Mara
dc.contributor.authorAngelini, Leonardo
dc.contributor.authorHenriques, Helga
dc.contributor.authorEl Kamali, Mira
dc.contributor.authorBaixinho, Cristina Lavareda
dc.contributor.authorBalsa, Joao
dc.contributor.authorFélix, Isa Brito
dc.contributor.authorABOU KHALED, Omar
dc.contributor.authorCarmo, Maria Beatriz
dc.contributor.authorCláudio, Ana Paula
dc.contributor.authorCaon, Maurizio
dc.contributor.authorDaher, Karl
dc.contributor.authorAlexandre, Bruno Venâncio
dc.contributor.authorPadinha, Mafalda
dc.contributor.authorMugellini, Elena
dc.date.accessioned2022-02-03T16:33:22Z
dc.date.available2022-02-03T16:33:22Z
dc.date.issued2021
dc.description.abstractBackground: Conversational agents, which we defined as computer programs that are designed to simulate two-way human conversation by using language and are potentially supplemented with nonlanguage modalities, offer promising avenues for health interventions for different populations across the life course. There is a lack of open-access and user-friendly resources for identifying research trends and gaps and pinpointing expertise across international centers. Objective: Our aim is to provide an overview of all relevant evidence on conversational agents for health and well-being across the life course. Specifically, our objectives are to identify, categorize, and synthesize—through visual formats and a searchable database—primary studies and reviews in this research field. Methods: An evidence map was selected as the type of literature review to be conducted, as it optimally corresponded to our aim. We systematically searched 8 databases (MEDLINE; CINAHL; Web of Science; Scopus; the Cochrane, ACM, IEEE, and Joanna Briggs Institute databases; and Google Scholar). We will perform backward citation searching on all included studies. The first stage of a double-stage screening procedure, which was based on abstracts and titles only, was conducted by using predetermined eligibility criteria for primary studies and reviews. An operational screening procedure was developed for streamlined and consistent screening across the team. Double data extraction will be performed with previously piloted data collection forms. We will appraise systematic reviews by using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. Primary studies and reviews will be assessed separately in the analysis. Data will be synthesized through descriptive statistics, bivariate statistics, and subgroup analysis (if appropriate) and through high-level maps such as scatter and bubble charts. The development of the searchable database will be informed by the research questions and data extraction forms. Results: As of April 2021, the literature search in the eight databases was concluded, yielding a total of 16,351 records. The first stage of screening, which was based on abstracts and titles only, resulted in the selection of 1282 records of primary studies and 151 records of reviews. These will be subjected to second-stage screening. A glossary with operational definitions for supporting the study selection and data extraction stages was drafted. The anticipated completion date is October 2021. Conclusions: Our wider definition of a conversational agent and the broad scope of our evidence map will explicate trends and gaps in this field of research. Additionally, our evidence map and searchable database of studies will help researchers to avoid fragmented research efforts and wasteful redundancies. Finally, as part of the Harnessing the Power of Conversational e-Coaches for Health and Well-being Through Swiss-Portuguese Collaboration project, our work will also inform the development of an international taxonomy on conversational agents for health and well-being, thereby contributing to terminology standardization and categorization.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doidoi:10.2196/26680pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/39165
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJMIR Publicationspt_PT
dc.relation.publisherversionhttps://www.researchprotocols.org/2021/9/e26680pt_PT
dc.titleConversational Agents for Health and Well-being Across the Life Course:pt_PT
dc.title.alternativeProtocol for an Evidence Mappt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue9pt_PT
oaire.citation.startPagee26680pt_PT
oaire.citation.titleJMIR Research Protocolspt_PT
oaire.citation.volume10pt_PT
person.familyNamePereira Guerreiro
person.familyNameAngelini
person.familyNameRafael Henriques
person.familyNameEl Kamali
person.familyNameLavareda Baixinho
person.familyNameBalsa da Silva
person.familyNameBrito Santos Pereira Félix
person.familyNameABOU KHALED
person.familyNameCarmo
person.familyNameCláudio
person.familyNameCaon
person.familyNameDaher
person.familyNameAlexandre
person.familyNamePadinha
person.familyNameMugellini
person.givenNameMara
person.givenNameLeonardo
person.givenNameHelga Marília da Silva
person.givenNameMira
person.givenNameCristina
person.givenNameJoao
person.givenNameIsa Raquel
person.givenNameOmar
person.givenNameMaria Beatriz
person.givenNameAna Paula
person.givenNameMaurizio
person.givenNameKarl
person.givenNameBruno Venâncio
person.givenNameMafalda
person.givenNameElena
person.identifier57203119057
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rcaap.typearticlept_PT
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